code: def _tile_series(cls, op: "DataFrameResetIndex"):
      out_chunks = []
      out = op.outputs[0]
      is_range_index = out.index_value.has_value()
      cum_range = np.cumsum((0,) + op.inputs[0].nsplits[0])
      for c in op.inputs[0].chunks:
          if is_range_index:
              index_value = parse_index(
                  pd.RangeIndex(
                      cum_range[c.index[0]], cum_range[c.index[0] + 1]
                  )
              )
          else:
              index_value = out.index_value
          chunk_op = op.copy().reset_key()
          if op.drop:
              out_chunk = chunk_op.new_chunk(
                  [c],
                  shape=c.shape,
                  index=c.index,
                  dtype=c.dtype,
                  name=c.name,
                  index_value=index_value,
              )
          else:
              shape = (c.shape[0], out.shape[1])
              out_chunk = chunk_op.new_chunk(
                  [c],
                  shape=shape,
                  index=c.index + (0,),
                  dtypes=out.dtypes,
                  index_value=index_value,
                  columns_value=out.columns_value,
              )
          out_chunks.append(out_chunk)
      if (
          not is_range_index
          and isinstance(out.index_value.value, IndexValue.RangeIndex)
          and op.incremental_index
      ):
          yield out_chunks
          out_chunks = standardize_range_index(out_chunks)
      new_op = op.copy()
      nsplits = calc_nsplits({c.index: c.shape for c in out_chunks})
      if op.drop:
          return new_op.new_seriess(
              op.inputs,
              op.inputs[0].shape,
              name=out.name,
              chunks=out_chunks,
              nsplits=nsplits,
              dtype=out.dtype,
              index_value=out.index_value,
          )
      else:
          return new_op.new_dataframes(
              op.inputs,
              out.shape,
              nsplits=nsplits,
              chunks=out_chunks,
              index_value=out.index_value,
              columns_value=out.columns_value,
              dtypes=out.dtypes,
          )
  
imports: import pandas
  import numpy
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import AnyField, BoolField
  from ...utils import no_default, calc_nsplits
  from ..core import IndexValue
  from ..operands import DataFrameOperandMixin, DataFrameOperand, DATAFRAME_TYPE
  from ..utils import parse_index, build_empty_df, build_empty_series, standardize_range_index
label_desc: Use image node_id 8 for calling the DataFrameResetIndex obj's underlying member method code with example usage: obj._tile_series(cls, op) and returns: new_op, new_op